Mentors

To assist and mould the students of the department, an excellent mentorship system is being created at the individual level. A mentor (group advisor) has been appointed to a group of 30 students. A student can consult their mentor at any moment regarding any academic or non-academic concern. The mentors monitor the academic performance of students in the group and motivate them to score good grades. They also provide career assistance and inspire them to grow into socially committed individuals.

Details of Mentors

Batch Year A Batch B Batch
2023 Ms. Manju Joy (Roll No:1-30) Dr. Shahna K U (Roll No:1-30)
Dr. Rakhi Venugopal (Roll No:31-60) Ms. Joice T (Roll No:31-60)
2022 Mr. Nithin Rajan (Roll No:1-30) Dr. Sujesh P Lal (Roll No:1-30)
Ms. Sona Mary Louis (Roll No:31-61) Ms. Anju L (Roll No:31-60)
2021 Dr. Santhosh Kottam (Roll No:1-30) Dr. Shidha M V(Roll No:1-30)
Ms. Rose Mary Mathew(Roll No:31-59) Ms. Senu Abi (Roll No:31-60)
2020 Ms. Joice T (Roll No:1-30) Dr. Deepa Mary Mathews (Roll No:1-30)
Ms. Manju Joy (Roll No:31-58) Dr. Rakhi Venugopal (Roll No:31-59)
2019 Ms. Senu Abi (S4) (Roll No:1-29) Ms. Shidha M V (S4)(Roll No: 1-29)
Ms. Anju L (S3) (Roll No:1-29) Ms. Rose Mary Mathew (S3) (Roll No: 1-29)

 

Design Projects

 

 

Main Projects:Top 10

Sl. No Project title Students Mentor Photographs
2020-2021
1 Development of Autonomous off-road Driving Package Using ROS Abhinav K Ganan, Anju Krishna P, Anuraj Vasudevan, Edwin Joy (S8MEA) Mr. Nithin H

Asst. Prof.

Image 1.1

Image 1.2

2 Physico-Mechanical Characterization of Light Weight Composite Pavement Tiles from Recycled Expanded Polystyrene Basil Sunny Alukka,

Issac Paul (S8MEA)

Dr. Rejeesh C R

Assoc. Prof.

Image 2.1

Image 2.2

Image 2.3

 

3 Hot Corrosion Characteristics of keyhole Plasma Arc Welded Advanced Ultra Super Critical Boiler Materials with Nickel Interlayer Namitha Krishnakumar,

Sandrio Jose, Marshal Sebastine, Tanuj Paulose (S8MEB)

Mr. Harish TM,

Asst. Prof.

Image 3.1

Image 3.2

4 Patient aid and Care Machine Joel Mathews Thankachan, Renjith Shibu, Richard Saju Varghese, T M Akshay (S8MEB) Mr. Nithin H,

Ms. Lakshmi Nandakumar

Asst. Prof.

Image 4.1

Image 4.2

2019-2020
5 Development of aluminium 5056/SiC/ Bagasse Ash hybrid surface composite using friction stir processing (FSP) Aggiya Ben, Eldho Paul, Govind K, Griffon Danty Ms Suni Mathai

Asst. Prof.

Image 5.1

Image 5.2

6 Effect of interlayer on micro-structure evolution and mechanical assessment of keyhole plasma arc welded advanced ultra-super critical boiler materials Rahul J Nair, Yadhu Satheesan, Jibin Rajeev, Shreyas Raj P Mr. Harish TM,

Asst. Prof.

Image 6.1

Image 6.2

7 Dynamic table tennis training robot Jidhin Paul, Jeswin Cherian, Kevin Rajan, Vysakh Vinod Mr. Nithin H

Asst. Prof.

Image 7.1

Image 7.2

2018-2019
8 Design Optimization and validation of a LVAD for Hemolysis. Aswin Sivadas,

Abhjijith J Kumar (S8MEA)

Mr. Martin Antony,

Asst. Prof.

Image 8.1

Image 8.2

9 Keyhole Plasma Arc Welding of Advanced Ultra Supercritical Boiler Materials-Experimental Study. Krishnakanth Ramesh,

Midhun Suresh,

Rishi S Kumar,

Yadhukrishna B (S8MEB)

Mr. Harish TM,

Asst. Prof.

Image 9.1

Image 9.2

Image 9.3

10 Gesture controlled Robotic Arm Kiran Varghese A,

Mohammed Shamil Rahiman, Shimon P,

Vyshnav V Manoj (S8MEB)

Mr. Srijith Rajeev,

Asst. Prof.

Image 10.1

Image 10.2

Image 10.3

2017-18
11 Study and Analysis of Truck Unloading Delay Using Quality Control Tools Georgy Joseph,

Jithin Samuel (S8 MEB)

Mr. M.J. Vincent,

Asst. Prof.,

Image 11.1

Image 11.2

12 Battery Powered Portable Refrigerator Al Fairooz Sulthan B A

Athul S Babu, Basil K,

Devaprasad Jayakumar (S8MEA)

Mr. Martin Antony,

Asst. Prof.

Image 12.1

click on the link to get the images

https://drive.google.com/drive/folders/1wDHny0OuHAVRMN1RLifq2FeA8MhWZ7Ov?usp=sharing

Syllabus

Innovative Teaching Learning Methods

Flipped Classroom

Flipped classroom is a teaching method where students first study theory by themselves as a pre-assigned homework and then learn in the classroom by working on exercises.

This blended learning model allows trainers to prioritize active learning during class time, by giving learners the training materials and presentations before the actual class. The trainer can simply share the content via a Learning Management System (LMS), email, or however training is delivered.

Think Pair Share (TPS)

Think-Pair-Share (TPS) is a classroom active learning strategy in which students work on activities, first individually, then in pairs and finally as the whole class. TPS allows students to express their reasoning, reflect on their understanding and obtain prompt feedback on their learning.

Think : Students think independently about the question that has been posed, forming ideas of their own.

Pair : Students are grouped in pairs to discuss their thoughts. This step allows students to articulate their ideas  and to consider  those of others.

Share :  Students pairs share their ideas with a larger group, such as the whole class or a group smaller than an entire class.

Seminar

Seminar has the function of bringing together small groups for recurring meetings, focusing each time on some particular subject, in which everyone present is requested to participate. Seminar classes are meant to be interactive, with students participating in a dialogue rather than just listening to a professor and taking notes. Because of this, seminar classes are great for engaging with complex ideas.

Jigsaw Method

Jigsaw is a cooperative learning method that makes students dependent on each other to achieve the team goals or to understand the concepts. It breaks classes into groups and breaks assignments into pieces that the group assembles to complete the (jigsaw) puzzle.

One-Minute Paper

The one-minute paper is a formative assessment strategy whereby students are asked to take one minute (or more) to answer two questions: what was the most important thing they learned in class today; and what still remains unclear to them.

The following subjects used One-Minute paper method:

Laboratories

The following State-of the-art laboratories, containing the latest equipment and machinery have been established to ensure that the students get complete facilities to thoroughly understand and explore the concepts of Mechanical Engineering as learnt in the class room.

>> Central Workshop comprising machine shop, carpentry shop, fitting shop, foundry shop, welding shop, smithy shop, sheet metal shop, and CNC machine

>> Thermal Engineering Laboratory

>> Internal Combustion Engines Laboratory

>> Heat and Mass Transfer Laboratory

>> Fluid Mechanics Laboratory

>> Fluid Machinery Laboratory

>> Cut models Laboratory

>> CAD/CAM Laboratory

>> Metrology and Measurements Laboratory

>> Advanced Machine Tools Laboratory

Sample Course Plan

Module Day Topic
1 1 Introduction, Classification of Energy Resources-

Conventional and Non conventional resources

1 2 Comparison of different types of resources
1 3 World Energy Scenario
1 4 Indian Energy Scenario.
1 5 Sizing and Necessity of Energy Storage.
2 6 SOLAR THERMAL SYSTEMS: Introduction
2 7 Solar Constant, Basic Sun Earth Angles,

Measurement of Solar Radiation Data

2 8 Problems
2 9 Pyranometer and Pyrheliometer
2 10 Principle of Conversion of Solar Radiation

into Heat

2 11 Solar thermal collectors
2 12 Solar thermal collectors
2 13 Flat plate collectors
2 14 Solar Concentrators
2 15 Solar Concentrators
2 16 Performance evaluation
3 17 SOLAR ELECTRIC SYSTEMS: Solar Thermal

Electric Power Generation ––Solar Photovoltaic system

3 18 Solar Cell fundamentals,characteristics,
3 19 Classification, construction of module,

panel and array

3 20 Solar PV Systems- stand alone and grid connected
3 21 Street lighting, Domestic lighting and Solar Water pumping systems.
4 22 ENERGY FROM OCEAN: Tidal Energy, Principle of Tidal Power,

Components of Tidal Power Plant (TPP),

4 23 Classification of Tidal Power plants,

Advantages and Limitations of TPP.

4 24 OTEC: Principle of OTEC system,

Methods of OTEC-open cycle, Closed Cycle,

Hybrid Cycle

4 25 Site selection criteria, Biofouling,Advantages & Limitations of OTEC
5 26 WIND ENERGY: Introduction, Wind and

its Properties, History of Wind Energy

5 27 Wind Energy Scenario-world and India,
5 28 WECS-principle,components
5 29 WECS-classification
5 30 Derivation of power and capacitor factor,

Advantages and Disadvantages of WECS

5 31 Problems
6 32 BIOMASS ENERGY:Introduction,

Photosynthesis process

6 33 Biomass fuels, Biomass conversion technologies,

Urban waste to Energy conversion

6 34 Biomass Gasification, Biomass to Ethanol

Production

6 35 Biogas production from waste biomass,

factors affecting biogas generation

6 36 Types of biogas plants
6 37 Small Hydro Power-Classification
6 38 Type of Turbines and their selection
39 University Question Paper Discussion
40 University Question Paper Discussion

PO-PSO Mapping to CO

FEDERAL INSTITUTE OF SCIENCE & TECHNOLOGY

DEPARTMENT OF ELECTRICAL AND ELECTRONICS ENGINEERING

Program: ELECTRICAL AND ELECTRONICS ENGINEERING Academic Year: 2020-2021
Course: NEW AND RENEWABLE ENERGY SYSTEMS Course Duration: AUG 1 – NOV 29
Course

Code:

EE 367 Semester

(Admiss. Year):

5 (2018)
CO – PO MAPPING
On successful completion of this course the student will have the ability to :
PO 1 PO 2 PO 3 PO 4 PO 5 PO 6 PO 7 PO 8 PO 9 PO 10 PO 11 PO 12 PSO 1 PSO 2 PSO 3
CO No. CO Details BTL K3 K4 K5 K5 K3, K5,

K6

K3 K2 K3 K4 K2 K2 K3 PSO 1 PSO 2 PSO 3
EE367.1 Explain various energy resources and impact of electric power generation on

environment and society.

K2 2 0 0 0 0 0 2 0 0 0 0 2 1 0 0
EE367.2 Design solar PV systems for residential application K3 3 2 1 0 0 0 0 0 0 0 0 0 2 0 0
EE367.3 Illustrate geometry and measurement of Solar Radiation,Solar collectors and

Solar electric systems for different applications.

K2 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0
EE367.4 Discuss PV System,Biomass energy,Tidal energy ,OTEC system and various emerging

technologies.

K2 2 0 0 0 0 0 2 0 0 0 0 0 1 0 0
EE367.5 Recognize and outline world and Indian energy scenario. K2 2 0 0 0 0 0 0 0 0 0 0 2 1 0 0
EE367.6 Interpret the basic components and principle of energy conversion from wind. K2 2 0 0 0 0 0 0 0 0 0 0 0 1 0 0
2.17 2.00 1.00 0.00 0.00 0.00 2.00 0.00 0.00 0.00 0.00 2.00 1.17 0.00 0.00
3 2 1 0 0 0 2 0 0 0 0 2 2 0 0

 

PEO, POs, PSOs

Programme Educational Objectives (PEO) – Computer Science and Engineering

  • PEO1 – Successful Careers: Achieve successful careers in the IT industry with their knowledge, interpersonal skills and adaptability to evolving industry trends.
  • PEO2 – Commitment to Society: Be industry ready professionals with ethics, knowledge and entrepreneurship to drive social change and lead development in the industry.
  • PEO3 – Life Long Learning: Possess interest in pursuing higher studies and soft skills, ethical code of conduct and ability for life-long learning.

Programme Educational Objectives (PEO) – Computer Science and Design

  • PEO1-Understanding of foundations, limits, and capabilities of computing.
  • PEO2-Ability to design and implement efficient software solutions using suitable algorithms, data structures, and other computing techniques.
  • PEO3-Understanding of design principles and techniques and ability to apply these for developing solutions to human/societal problems.
  • PEO4-Ability to independently investigate a problem which can be solved by an Human Computer Interaction (HCI) design process and then design an end-to-end solution to it (i.e., from user need identification to UI design to technical coding and evaluation).
  • PEO5-Ability to effectively use suitable tools and platforms, as well as enhance them, to develop applications/products for new media design in areas like animation, gaming, virtual reality, etc

Programme Outcomes (PO)

PO1. Engineering Knowledge: Apply the knowledge of mathematics, science, engineering fundamentals, and an engineering specialization to the solution of complex engineering problems.

PO2. Problem Analysis: Identify, formulate, review research literature, and analyze complex engineering problems reaching substantiated conclusions using first principles of mathematics, natural sciences, and engineering sciences.

PO3. Design/Development of Solutions: Design solutions for complex engineering problems and design system components or processes that meet the specified needs with appropriate consideration for the public health and safety, and the cultural, societal, and environmental considerations.

PO4. Conduct Investigations of Complex Problems: Use research-based knowledge and research methods including design of experiments, analysis and interpretation of data, and synthesis of the information to provide valid conclusions.

PO5. Modern Tool Usage: Create, select, and apply appropriate techniques, resources, and modern engineering and IT tools including prediction and modeling to complex engineering activities with an understanding of the limitations.

PO6. The Engineer and Society: Apply reasoning informed by the contextual knowledge to assess societal, health, safety, legal and cultural issues and the consequent responsibilities relevant to the professional engineering practice.

PO7. Environment and Sustainability: Understand the impact of the professional engineering solutions in societal and environmental contexts, and demonstrate the knowledge of, and need for sustainable development.

PO8. Ethics: Apply ethical principles and commit to professional ethics and responsibilities and norms of the engineering practice.

PO9. Individual and Team work: Function effectively as an individual, and as a member or leader in diverse teams, and in multidisciplinary settings.

PO10. Communication: Communicate effectively on complex engineering activities with the engineering community and with society at large, such as, being able to comprehend and write effective reports and design documentation, make effective presentations, and give and receive clear instructions.

PO11. Project Management and Finance: Demonstrate knowledge and understanding of the engineering and management principles and apply these to one’s own work, as a member and leader in a team, to manage projects and in multidisciplinary environments.

PO12. Life-long Learning: Recognize the need for, and have the preparation and ability to engage in independent and life-long learning in the broadest context of technological change.

 

Program Specific Outcomes (PSO)

The students of the  Computer Science and Engineering  Programme will have:

  • 1. The ability to implement, analyze and develop algorithms based on computational theory in the fields of networking, machine learning, data mining, pattern recognition, robotics and other important areas of computer science for productive and effective design of computer-based systems of diverse complexity.
  • 2. The ability to apply standard engineering practices, strategies and tactics for the development and management of software and hardware projects, using open source programming environments to deliver quality end products.

 

Add on Courses

Name of Add on /Certificate programs offered Year of offering Duration of course Number of students enrolled in the year
Web Application Devolopment 2016-2017 30hrs 150
Object Oriented Programming Concepts 34hrs 124
C Programming Best Practices 38hrs 118
C Programming Best Practices 2017-2018 38hrs 30
Machine Learning 30hrs 100
Object Oriented Programming Concepts 34hrs 125
Web Application Development 30hrs 117
Object Oriented Programming Concepts 2018-2019 34hrs 126
C Programming Best Practices 38hrs 31
Web Application Development 30hrs 123
Machine Learning 30hrs 60
Google Certified Associate Cloud Engineer (ACE) 5 Months 67
C Programming Best Practices 2019-2020 38hrs 30
Web Application Development 30hrs 100
Machine Learning 30hrs 60
Google Certified Associate Cloud Engineer (ACE) 120hrs 40
iOS and Swift Development Course 120hrs 30
Introduction to Python 30hrs 133
C Programming Best Practices 2020-2021 38hrs 30
Web Application Development 30hrs 123
Machine Learning 30hrs 60
Google Certified Associate Cloud Engineer (ACE) 5 Months 30
iOS App Development 120hrs 30
Introduction to Python 30hrs 124
AWS certified cloud practitioner 25hrs 25
Programming for Developers(AD_CSE_PD) 2021-2022 30hrs 124
Amazon web services 32hrs 122
Introduction to Object Detection using Deep learning(AD_CSE_DL) 30hrs 129
Introduction to Python Programming(AD_CSE_PY) 2021-2022 30hrs 130
CLOUD COMPUTING CONCEPTS USING AMAZON WEB SERVICES(AD_CSE_AWS) 30hrs 130
Web Technology(AD_CSE_WT) 30hrs 120
Multi core Programming(AD_CSE_MP) 30hrs 10
Introduction to Python Programming(AD_CSE_PY) 2022-2023 30hrs 195
Amazone Web Services(ACFB2EN2669) 30hrs 120
Multi core Programming(AD_CSE_MP) 30hrs 10
Full Stack Develoment 30hrs 57
Full Stack Develoment 30hrs 50
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